Cloudera

NOVEMBER 16, 2021

With the general availability of Cloudera DataFlow for the Public Cloud (CDF-PC) , our customers can now self-serve deployments of Apache NiFi data flows on Kubernetes clusters in a cost effective way providing auto scaling, resource isolation and monitoring with KPI-based alerting. Functions as a Service.

Serverless 105

Serverless Lambda Microservices KPI 105

Capgemini

APRIL 20, 2022

Capgemini is an AWS Premier Tier Services Partner and Managed Service Provider (MSP) with a multicultural team of 325,000 people in nearly 55 countries. Capgemini has more than 12,000 AWS accreditations and over 4,900 active AWS Certifications. Figure 4 – DCP business-function microservices. Solution overview.

Cloud 52

Cloud AWS Microservices Architecture 52

Cloudera

SEPTEMBER 30, 2022

With DFF, users now have the choice of deploying NiFi flows not only as long-running auto scaling Kubernetes clusters but also as functions on cloud providers’ serverless compute services including AWS Lambda, Azure Functions, and Google Cloud Functions. New use cases: event-driven, batch, and microservices.

Serverless 72

Serverless Microservices Lambda IoT 72

Modus Create

MAY 15, 2023

Legacy databases can’t scale fluidly with your serverless functions, creating a major bottleneck in the scalability of your serverless application. In the AWS world, the go-to options for solving this issue would be DyanamoDB or Aurora Serverless. Since it was an isolated feature, we created a separate Lambda function for it on AWS.

Serverless 98

Serverless Lambda AWS Architecture 98

Netflix Tech

OCTOBER 19, 2020

Distributed Tracing: the missing context in troubleshooting services at scale Prior to Edgar, our engineers had to sift through a mountain of metadata and logs pulled from various Netflix microservices in order to understand a specific streaming failure experienced by any of our members. Trace Instrumentation: how will it impact our service?

Infrastructure 93

Infrastructure Microservices Systems Review Storage 93

The Agile Monkey

NOVEMBER 16, 2018

From Microservices to Serverless: How to avoid converting “Distributed monolith” microservices into “Serverless monoliths” Learning from the past: converting a monolith into… a worse monolith When microservices became mainstream, a lot of companies started to migrate their monolithic systems to a distributed microservice architecture.

Serverless 40

Serverless Microservices Lambda How To 40

Daniel Bryant

SEPTEMBER 16, 2022

For example, with Ambassador Edge Stack, we embraced the widely adopted Kubernetes Resource Model (KRM) , which enables all of the API gateway functionality to be configured by Custom Resources and applied to a cluster in the same manner as any Kubernetes configuration. Independently from this?—?although

Load Balancer 95

Load Balancer Cloud Continuous Delivery Microservices 95

Netflix Tech

MARCH 7, 2024

Compute: Titus Whereas open-source users of Metaflow rely on AWS Batch or Kubernetes as the compute backend , we rely on our centralized compute-platform, Titus. We have talked about the importance of a production-grade workflow orchestrator in the context of Metaflow when we released support for AWS Step Functions years ago.

System 90

System Machine Learning Artificial Inteligence Training 90

Netflix Tech

JUNE 7, 2021

Challenges The cloud network infrastructure that Netflix utilizes today consists of AWS services such as VPC, DirectConnect, VPC Peering, Transit Gateways, NAT Gateways, etc and Netflix owned devices. Without having network visibility, it’s difficult to improve our reliability, security and capacity posture. What is BPF?

Network 130

Network IPv6 Transportation AWS 130

OverOps

OCTOBER 5, 2018

The amount of resources Pivotal makes available and the time and effort the team, lead by Marina Joseph, puts in, ensures success for the all the partners that attended. This ensures portability and scalability regardless of the underlying IaaS provider. First, a few words about the Pivotal Partner Program.

Engineering 160

Engineering Microservices Azure AWS 160

Altexsoft

MARCH 2, 2021

In this guide I’ll try to assist by covering: Why companies are moving to AWS – key benefits. 6 strategies for migrating applications to AWS. A quick AWS migration checklist. Why are Companies Moving to AWS? Alongside the benefits, you should also consider key challenges of migrating to AWS. Compliance.

AWS 90

AWS Storage Disaster Recovery Compliance 90

d2iq

NOVEMBER 7, 2022

The Big Three” cloud providers (Google, Amazon, Azure) have continued their relative rankings since 2016, with AWS maintaining its market dominance. Respondents noted slight decreases in “deployment in general,” “building microservices,” and “architectural refactoring.” to 31.3% — held firm this year. in the last year.

Trends 125

Trends Survey Enterprise Report 125

Existek

MAY 8, 2023

With ASP.NET, developers can build web applications that are secure, scalable, and easy to maintain. With frameworks like ASP.NET and Blazor, developers can build web applications that are secure, scalable, and easy to maintain while leveraging the power and flexibility of the.NET Framework. Microservices: what is.NET used for?

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

Existek

MAY 8, 2023

With ASP.NET, developers can build web applications that are secure, scalable, and easy to maintain. With frameworks like ASP.NET and Blazor, developers can build web applications that are secure, scalable, and easy to maintain while leveraging the power and flexibility of the.NET Framework. Microservices: what is.NET used for?

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

Tenable

NOVEMBER 29, 2022

While cloud computing providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure offer robust and scalable services, securing your cloud environment brings its own unique challenges. Data exposure and cloud resource misconfigurations. Resource exhaustion and financial loss. Insecure APIs.

Applications 52

Applications Cloud Software Review Systems Review 52

Altexsoft

SEPTEMBER 30, 2022

Using the cloud is not the end, but taking it to the next level with cloud-native applications is better to take advantage of the enhanced agility, availability, scalability, and general performance. Microservices. Microservices is considered an architectural strategy capable of managing complex applications simply.

Applications 52

Applications Cloud Software Review Microservices 52

iTexico

APRIL 15, 2020

The real transformation is in the adoption of serverless architecture, microservices, workflow automation. The Capacity of Mexican IT resources is growing every year and has ranked in the top QS World University Rankings 2018 features the world's best universities, 14 of which are in Mexico. Google, last year was very profitable.

Lambda 52

Lambda Serverless AWS Case Study 52

Altexsoft

JUNE 29, 2021

It is common in designing apps that rely on microservices (when every service runs its own process.). Scalability. EDAs allow for great horizontal scalability as one event may trigger responses from multiple systems with different needs and providing different results. Loose coupling. They include.

Architecture 75

Architecture Microservices IoT Scalability 75

O'Reilly Media - Ideas

JANUARY 14, 2020

Get a basic understanding of serverless, then go deeper with recommended resources. Serverless also offers an innovative billing model and easier scalability. While AWS Lambda is viewed as the specific technology that kicked off the movement, other vendors offer platforms for reducing operational overhead. In What is Serverless?

Serverless 52

Serverless Lambda AWS Architecture 52

Datavail

MARCH 17, 2022

To increase business agility, improve scalability and cut costs, more and more companies are moving their data and applications to the cloud. One common refactoring technique is to break up a monolithic application into many interconnected microservices. Repurchasing. a SaaS product).

Cloud 52

Cloud Weak Development Team Software Review Technical Review 52

Stacks on Stacks

NOVEMBER 1, 2018

At its core, serverless development is all about combining managed services in the cloud to create applications and microservices. For serverless teams this commonly takes the form of an AWS Serverless Application Model (SAM) template, a serverless.yml, or a CloudFormation template. The serverless approach has major benefits.

Serverless 40

Serverless DevOps Microservices AWS 40

ParkMyCloud

AUGUST 6, 2020

Soon, there were thousands of articles, tweets, blog posts, and conference talks about moving to a microservices architecture built on containers using Kubernetes to manage the pods and services. You don’t have the same resources, or the same problems as that huge company. You’re (Probably) Not Google.

Serverless 63

Serverless Blockchain Open Source Lambda 63

Openxcell

NOVEMBER 27, 2023

A cloud migration involves moving an organization’s digital assets, IT resources, services, databases, and applications from an on-premises legacy infrastructure into a public cloud hyperscale environment such as AWS, GCP, or Azure. AWS Migration Tools One of the most popular cloud services is Amazon Web Services.

Strategy 52

Strategy Tools Cloud Disaster Recovery 52

ParkMyCloud

JANUARY 28, 2020

Shmuel Kliger (founder of our parent company, Turbonomic) explains in this video that cloud economics “is the ability to deliver IT in a scalable way with speed, agility, new consumption models, and most importantly, with a high level of elasticity.”. All resources need to be tagged. Does it mean eliminating unused infrastructure?

Cloud 59

Cloud How To Weak Development Team Technical Review 59

Xebia

AUGUST 29, 2023

VPC Lattice offers a new mechanism to connect microservices across AWS accounts and across VPCs in a developer-friendly way. Or if you have an existing landing zone with AWS Transit Gateway, do you already plan to replace it with VPC Lattice? You can also use AWS PrivateLink to inter-connect your VPCs across accounts.

AWS 130

AWS Load Balancer Microservices Lambda 130

Stackery

MARCH 3, 2020

If the business goal is time-to-market and delivering applications fast and in a way that is manageable, secure, and scalable, then most of the time Kubernetes is the wrong choice for your organization. The most well-known example of serverless today is the AWS Lambda service., Serverless Pragmatism.

Serverless 52

Serverless Lambda Infrastructure Insurance 52

Mobilunity

JULY 16, 2021

Continuous Integration Microservices. Whether you are interested in Azure, GCP, or AWS continuous integration and continuous delivery services, there are plenty of tools to choose from. It is perfect for Amazon continuous delivery and AWS instances size. This results in delays and wasted resources. Limited environment.

DevOps 98

DevOps Continuous Delivery Continuous Integration Software Development 98

OTS Solutions

SEPTEMBER 5, 2023

Think about service and resource governance Another important consideration that you need to make when strategizing as a mobile app developer, is governance. Most people simply assume that they will manage to handle all the services and resources until a point where everything is too tiresome to manage.

DevOps 130

DevOps Cloud Software Review Weak Development Team 130

CircleCI

MAY 18, 2021

Auto-scaling relieves developers of allocation management tasks, so they do not need to worry about the allocation of server resources or being charged for resources they are not consuming. Another big benefit is that serverless computing fits well into both traditional and microservice architectures. Conclusion.

Azure 52

Azure Serverless Storage Groups 52

Cloud That

NOVEMBER 17, 2022

CloudFormation helps us leverage AWS products such as Elastic Load Balancing, Amazon Elastic Block Store, Amazon EC2, Amazon SNS, and Auto Scaling to build highly scalable, cost-effective, and highly reliable applications in the cloud without worrying about creating and configuring the underlying AWS infrastructure.

AWS 75

AWS Load Balancer Resources Infrastructure 75

AWS Machine Learning - AI

FEBRUARY 9, 2024

Because Amazon Bedrock is serverless, you don’t have to manage any infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. You can deploy the solution in your own account using the AWS CDK.

Lambda 127

Lambda Generative AI AWS Microservices 127

Gorilla Logic

MAY 19, 2021

There are three primary options for outsourcing software development, including: • Onshore, using local resources . Offshore, using resources from a variety of global locations. Nearshore, using resources from nearby countries in Latin America. Which outsourcing methodology is right for you? Completing secure code reviews.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Bernd Rucker

MARCH 15, 2021

Communication Between Loosely Coupled Microservices?—?Webinar Webinar FAQ In the recent webinar titled “Communication Between Loosely Coupled Microservices” we got a lot of great questions and because of the limited time some were left unanswered. Q: Doesn’t the proliferation of microservices increase the security attack surface?

Microservices 92

Microservices Architecture Technical Review Systems Review 92

Kentik

JUNE 6, 2023

APIs are complex, particularly if you run lots of microservices. You can monitor their status and collect metrics like response time and resource consumption, just to name a few. Too many, and your resource consumption will be higher. This shows metrics for various AWS addresses. Scalability.

Metrics 52

Metrics Testing Policies Linux 52

d2iq

FEBRUARY 19, 2021

The overall process needs to be managed, the data and model need to be tracked, and there are of course generic components, such as resource management, configuration management, and automation. Unit and integration tests are pretty standard for data pipelines and microservices. Kubernetes (K8s) is an obvious choice.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

AWS Machine Learning - AI

FEBRUARY 1, 2024

Consider the following picture, which is an AWS view of the a16z emerging application stack for large language models (LLMs). This includes native AWS services like Amazon OpenSearch Service and Amazon Aurora. Scalability – How many vectors can the system hold? Is your vector database highly available in a single AWS Region?

Generative AI 110

Generative AI Disaster Recovery Artificial Inteligence AWS 110

Enlume

MAY 15, 2019

Many mobile devices have constraints in the resources that they have in terms of hardware and software, most commonly in memory, computational power as well as in the storage segment. The cloud also helps the mobile app development cycle by being highly scalable, being flexible. This is particularly helpful in the iOS app.

Cloud 53

Cloud Development Mobile Social 53